"Yahoo Finance MCP (Model Context Protocol) Server" matching MCP servers:

Provides access to real-time stock prices, financial statements, news, and options data via the Model Context Protocol. It enables AI assistants to retrieve comprehensive market data, including historical prices and analyst recommendations, through a standardized interface.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

Local-first personal finance MCP that aggregates bank, brokerage, credit, and loan accounts via Plaid and writes balances, holdings, and transactions to an Obsidian-style markdown vault, with access tokens stored securely in macOS Keychain.

An MCP server that gives AI assistants read access to real brokerage accounts and market data, with 39 tools for prices, technical analysis, SEC filings, and macro indicators, while order execution requires human approval via a separate dashboard.

Self-hosted, read-only MCP server that connects banks, credit cards, loans, and brokerage accounts via Plaid. 9 tools for balances, transactions, recurring charges, liabilities, and investment holdings.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

Enables users to scan Hugging Face for Apple-MLX models, estimate memory fit and decode speed for their Mac, and get ranked recommendations for a use case, with all agent work running locally.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

Tracks personal expenses with tools to add, edit, and summarize expenses, storing data locally in SQLite.

Enables AI assistants to securely manage and analyze personal finances through natural language, with full control over data via a private PostgreSQL database.

Enables AI assistants to access Bangladesh's financial markets, including both stock exchanges, cross-exchange price spreads, company fundamentals, sector performance, financial news, and taka exchange rates.

MCP server for the SheetsFinance formula catalog, enabling search and construction of financial formulas for Google Sheets.

Universal work attestation for autonomous agents. Register any AI agent or machine with persistent cryptographic identity, attest completed work with tamper-evident on-chain records, and query trust scores. The reputation layer for the agent economy. 3 MCP tools over SSE. Settled on Solana.

Enables assistants to read-only explore and analyze Grafana dashboards and data sources, execute queries against Prometheus and Azure Log Analytics, and run guided investigation workflows.

Context+ is a semantic intelligence server that transforms codebases into searchable, hierarchical feature graphs using RAG, Tree-sitter AST, and spectral clustering. It provides tools for deep code discovery, blast radius analysis, and memory graph management for high-accuracy engineering tasks.

Provides access to ancient text corpora via stdio, enabling corpus listing, status checks, searching, and text/metadata retrieval with provenance envelopes.

Provides Chinese cultural and public data as MCP tools, including random classical poems, Chinese holiday and compensatory workday queries with annual summaries, and historical events for any date.

Enables agents to load instruction modules on demand from linked git repos, keeping the always-loaded AGENTS.md slim. It syncs each module's repo before reading and returns the module text with the commit it was read at.

Provides access to Hong Kong financial data like business registrations, mortgage statistics, and HIBOR rates through a FastMCP interface.

Lets AI coding agents ask a Rails app about itself: 35 read-only tools answer from the schema, models, routes, controllers, views, jobs and conventions, over MCP or the command line, even when the app cannot boot.

Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.

Runs a task through 3 parallel AI models (China or USA preset) and returns concise responses for Claude to synthesize.

Provides a local SQLite-backed code context knowledge base with MCP tools for storing and querying code facts, call graphs, semantic info, evidence, and business mappings, plus versioned snapshot publishing and incremental sync.

An MCP server providing Model-usable tools to fetch real-time quotes, historical price charts, fundamental datasets, SEC filings, economic/earnings calendars, option chains, and corporate bond data from TradingView.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

DeFi execution on Base, Citrea, HyperEVM and Monad via Fibrous aggregation: swap quotes, swaps with optimal routing, native and ERC-20 transfers, cross-chain portfolio with USD valuations, and Aave V3 supply/borrow/repay/withdraw. Quotes, transaction status and Aave market data need no wallet, and transactional tools accept simulate=true for a preview that never broadcasts.

Enables an AI agent to host a shared folder or join an invite link as a participant in a collaborative editing session, reading, editing, and writing the files the room shares. Runs the same sync engine and wire protocol as editor clients, so an agent and a person or another agent converge on the same documents and see each other's changes.

Unified MCP orchestration layer that consolidates multiple MCPs into a single interface with semantic tool discovery, code-mode execution, scheduling, and intelligent caching to reduce token usage by 97% and eliminate choice paralysis.